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Time synchronization and data fusion for RGB-Depth cameras and inertial sensors in AAL applications

Cippitelli, E. (author)
Gasparrini, S. (author)
Gambi, E. (author)
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Spinsante, S. (author)
Wåhslén, Jonas (author)
KTH,Data- och elektroteknik
Orhan, Ibrahim (author)
KTH,Data- och elektroteknik
Lindh, Thomas (author)
KTH,Data- och elektroteknik
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 (creator_code:org_t)
IEEE conference proceedings, 2015
2015
English.
In: 2015 IEEE International Conference on Communication Workshop, ICCW 2015. - : IEEE conference proceedings. - 9781467363051 ; , s. 265-270
  • Conference paper (peer-reviewed)
Abstract Subject headings
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  • Ambient Assisted Living applications often need to integrate data from multiple sensors, to provide consistent information on the observed phenomena. Data fusion based on samples from several sensors requires accurate time synchronization with sufficient resolution, depending on the sensor sampling frequency. This work presents a technical platform for the efficient and accurate synchronization of the data captured from RGB-Depth cameras and wearable inertial sensors, that can be integrated in AAL solutions. A case study of sensor data fusion for Timed Up and Go test is also presented and discussed.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Signalbehandling (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Signal Processing (hsv//eng)
TEKNIK OCH TEKNOLOGIER  -- Annan teknik -- Mediateknik (hsv//swe)
ENGINEERING AND TECHNOLOGY  -- Other Engineering and Technologies -- Media Engineering (hsv//eng)

Keyword

data fusion
depth camera
inertial sensor
synchronization
timed up and go
Cameras
Functional assessment
Inertial navigation systems
Wearable sensors
Wearable technology
Ambient assisted living
Multiple sensors
Sampling frequencies
Time synchronization
Sensor data fusion

Publication and Content Type

ref (subject category)
kon (subject category)

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